Shu Yang
Chesterfield,MO
Summary
- Self-motivated individual and looking for challenges
- 5 years industrial experiences as a data scientist
- 10+ years of experience in statistical modeling, machine learning and deep learning
- 15+ years software programming and database management experience
- 15+ first authored academic journal papers (data analysis oriented)
- 20+ presentations at regional and international conferences
- Problem solver, team player, multitasker and improvement initiator
Overview
4
4
years of professional experience
1
1
Certification
Work History
Data Science Lead
MilliporeSigma
04.2022 - Current
- Lead project "Deep learning driven retrosynthetic tool" from ground up, and collaborate with universities, external vendors, and internal groups to transform rule-based Synthia(TM) to data-driven Synthia(TM)
- Write proposals to BlueHouse project, completed prototypes, and presented to stakeholders
- Closely collaborate with AIDD (AI for Drug Discovery) to develop mini-version retro tools from ground up. Make data pipelines, build deep learning models and publish services in Google Cloud
Senior Data Scientist
Mercy Healthcare
12.2021 - 04.2022
- Process mining in Healthcare (visualize process mining maps using Typescripts and explore visualization options to proof concepts)
- Covid case prediction (predict number of infected healthcare workers in Mercy and predict Covid test lab utilization)
- Mentored other members in data science group
Data Scientist
MilliporeSigma
07.2018 - 01.2020
- Led chemical product recommender system to support sales in China. Used various machine learning and deep learning based recommendation models to implement multiple recommendation strategies
- Led project "Predictive toxicity in-silico approach" (funded by Innovation Center, MilliporeSigma), and developed deep learning models and advanced learning strategies from ground up. Presented to innovation board and CEO
- Initiator of "emerging terms detection in life science". Developed nature language processing (NLP) based tools and computational network algorithms to detect emerging terms. Presented to innovation board and CEO
- Led project "Text mining platform", coordinated with UI/UX, software development, and data science groups ; organized project meetings and tracked progress
- Led project "deep learning based imaging processing". Used Autoencoder to detect CPE infected plates
- Leadership work: hosted data science group meetings and take meeting minutes; drafted data science and bioinformatics related job description; served as technical interviewee; presented at internal conferences; mentored two (2) interns
Postdoc Research
University Of South Florida
01.2017 - 06.2018
- Performed big data analysis in connected vehicle setting
- Worked with USDOT and relevant stakeholders
Education
Ph.D. - System Industrial Engineering
University of Arizona
Tucson, AZ12.2016
Master of Science - Geographical Information System
Southeast University
China05.2012
Skills
- Deep learning
- Fully connected NN
- Conv NN, Graph CNN
- GAN
- Transfer learning
- Machine learning
- Natural language processing
- Stats modeling
Certification
- 2022, Microsoft Azure Fundamentals certification (Certification ID: 12336649)
- 2007, Licensed Database Management System Engineer (Registration ID: 07145320135), awarded by the Ministry of Industry and Information Technology of the People’s Republic of China
- 2006, Licensed Software Engineer (Registration ID: 06218320501), awarded by the Ministry of Industry and Information Technology of the People’s Republic of China
Timeline
Data Science Lead
MilliporeSigma
04.2022 - Current
Senior Data Scientist
Mercy Healthcare
12.2021 - 04.2022
Data Scientist
MilliporeSigma
07.2018 - 01.2020
Postdoc Research
University Of South Florida
01.2017 - 06.2018
Ph.D. - System Industrial Engineering
University of Arizona
Master of Science - Geographical Information System
Southeast University
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